Educational cooperation in the perspective of tripartite evolutionary game among government, enterprises and universities

Author:

Zhang ShuangzhiORCID

Abstract

Government-enterprise-university synergy (GEUS) is an effective way to mobilize government, enterprises, and universities to collaborate on education, but these three parties involved in GEUS may, out of bounded rationality, choose to collaborate in ways that benefit themselves and harm others. To guide the three parties to better cooperation, this study creates an evolutionary game model among the three parties and evaluates the applicability and validity of the model by selecting the educational cooperation data in Beijing. It is shown that participation in education cooperation is the best course of action for all three parties. The intensity of willingness to participate in the GEUS is on the order of high to low for universities, enterprises, and the government. If the three parties wish to accomplish education collaboration sooner, they can increase default payments, boost government revenues, raise corporate participation in distribution, and reduce government and government spending. These results highlight the inherent regularities of GEUS and provide concrete implementation strategies to improve the efficiency of education cooperation.

Funder

Chengdu Philosophy and Social Sciences Research Project

The MOE (Ministry of Education in China) Project of Humanities and Social Sciences

Chengdu Soft Science Research Project

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference62 articles.

1. Beating the Employment Challenges: How Unemployed Youths Generate Income for Their Households;GC Paul;Journal of Social Change,2022

2. University-enterprise cooperation for the employability of higher education graduates: a social capital approach.;N Arranz;Studies in Higher Education,2022

3. Educator perspectives on learning analytics in classroom practice;A Shibani;The Internet and Higher Education,2020

4. Profiling academic-industrial collaborations in bibliometric-enhanced topic networks: A case study on digitalization research;H Chen;Technological Forecasting and Social Change,2022

5. A latecomer firm’s R&D collaboration with advanced country universities and research institutes: The case of huawei in Germany.;I Liefner;Technovation.,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3